Best Practices in Data Science

Mullarkey, Michael

dc.contributor.author	Mullarkey, Michael
dc.date.accessioned	2024-03-14T21:35:35Z
dc.date.available	2024-03-14T21:35:35Z
dc.date.issued	2024-02-05
dc.identifier.uri	http://hdl.handle.net/10150/671261
dc.description	Workshop on Best Practices in Data Science, an initiative by the Personalized Treatment Lab, supported by the Gerber Endowment.	en_US
dc.description.sponsorship	With support from The Kenneth Gerber Library Endowment Fund.	en_US
dc.language	en
dc.publisher	University of Arizona (Tucson, AZ)	en_US
dc.relation.url	https://mcmullarkey.github.io/data_engineering_and_validation_book/	en_US
dc.relation.url	https://mcmullarkey.github.io/four_hour_data_eng_workshop/00_main_presentation.html#/title-slide	en_US
dc.rights	Copyright © The Arizona Board of Regents.	en_US
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en_US
dc.subject	best practices	en_US
dc.subject	data science	en_US
dc.title	Best Practices in Data Science	en_US
dc.type	Video	en_US
dc.type	Presentation	en_US
dc.type	Text	en_US
dc.contributor.department	Aiberry	en_US
dc.description.collectioninformation	This item from the Library Presentations and Publications collection is made available by the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
refterms.dateFOA	2024-03-14T21:35:37Z